Thanks, Shivaram. Kui
> On Sep 19, 2014, at 12:58 AM, Shivaram Venkataraman > <shiva...@eecs.berkeley.edu> wrote: > > As R is single-threaded, SparkR launches one R process per-executor on > the worker side. > > Thanks > Shivaram > > On Thu, Sep 18, 2014 at 7:49 AM, oppokui <oppo...@gmail.com> wrote: >> Shivaram, >> >> As I know, SparkR used rJava package. In work node, spark code will execute >> R code by launching R process and send/receive byte array. >> I have a question on when to launch R process. R process is per Work >> process, or per executor thread, or per each RDD processing? >> >> Thanks and Regards. >> >> Kui >> >>> On Sep 6, 2014, at 5:53 PM, oppokui <oppo...@gmail.com> wrote: >>> >>> Cool! It is a very good news. Can’t wait for it. >>> >>> Kui >>> >>>> On Sep 5, 2014, at 1:58 AM, Shivaram Venkataraman >>>> <shiva...@eecs.berkeley.edu> wrote: >>>> >>>> Thanks Kui. SparkR is a pretty young project, but there are a bunch of >>>> things we are working on. One of the main features is to expose a data >>>> frame API (https://sparkr.atlassian.net/browse/SPARKR-1) and we will >>>> be integrating this with Spark's MLLib. At a high-level this will >>>> allow R users to use a familiar API but make use of MLLib's efficient >>>> distributed implementation. This is the same strategy used in Python >>>> as well. >>>> >>>> Also we do hope to merge SparkR with mainline Spark -- we have a few >>>> features to complete before that and plan to shoot for integration by >>>> Spark 1.3. >>>> >>>> Thanks >>>> Shivaram >>>> >>>> On Wed, Sep 3, 2014 at 9:24 PM, oppokui <oppo...@gmail.com> wrote: >>>>> Thanks, Shivaram. >>>>> >>>>> No specific use case yet. We try to use R in our project as data scientest >>>>> are all knowing R. We had a concern that how R handles the mass data. >>>>> Spark >>>>> does a better work on big data area, and Spark ML is focusing on >>>>> predictive >>>>> analysis area. Then we are thinking whether we can merge R and Spark >>>>> together. We tried SparkR and it is pretty easy to use. But we didn’t see >>>>> any feedback on this package in industry. It will be better if Spark team >>>>> has R support just like scala/Java/Python. >>>>> >>>>> Another question is that MLlib will re-implement all famous data mining >>>>> algorithms in Spark, then what is the purpose of using R? >>>>> >>>>> There is another technique for us H2O which support R natively. H2O is >>>>> more >>>>> friendly to data scientist. I saw H2O can also work on Spark (Sparkling >>>>> Water). It is better than using SparkR? >>>>> >>>>> Thanks and Regards. >>>>> >>>>> Kui >>>>> >>>>> >>>>> On Sep 4, 2014, at 1:47 AM, Shivaram Venkataraman >>>>> <shiva...@eecs.berkeley.edu> wrote: >>>>> >>>>> Hi >>>>> >>>>> Do you have a specific use-case where SparkR doesn't work well ? We'd love >>>>> to hear more about use-cases and features that can be improved with >>>>> SparkR. >>>>> >>>>> Thanks >>>>> Shivaram >>>>> >>>>> >>>>> On Wed, Sep 3, 2014 at 3:19 AM, oppokui <oppo...@gmail.com> wrote: >>>>>> >>>>>> Does spark ML team have plan to support R script natively? There is a >>>>>> SparkR project, but not from spark team. Spark ML used netlib-java to >>>>>> talk >>>>>> with native fortran routines or use NumPy, why not try to use R in some >>>>>> sense. >>>>>> >>>>>> R had lot of useful packages. If spark ML team can include R support, it >>>>>> will be a very powerful. >>>>>> >>>>>> Any comment? >>>>>> >>>>>> >>>>>> --------------------------------------------------------------------- >>>>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>>>> For additional commands, e-mail: user-h...@spark.apache.org >>>>>> >>>>> >>>>> >>> >> --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
